Agent Workflow Optimization: Models Should Keep Thinking During Tool Execution
cephaloform · x · 2026-08-10
While observing a local large language model running (monitored via nvtop), a developer noticed that the model stops thinking to test its hypotheses when calling tools. Based on this, he proposed an idea for optimizing agent workflows: the model should perhaps continue thinking while the tool runs, receiving the output whenever it becomes available, thereby improving overall efficiency.
Related event: Dev Observes LLM Inference Pauses, Proposes Agent Workflow Optimization(2 posts)→
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